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Correlation between the neuroendocrine axis,microbial species,inflammatory response,and gastrointestinal symptoms in irritable bowel syndrome

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World Journal of Gastroenterology 2024年第35期30卷 3985-3995页

作者： xin zhang Wei-Wei Jin Hong-Gang Wang Department of Gastroenterology Tongde Hospital of Zhejiang ProvinceTaizhou 524333Zhejiang ProvinceChina Department of Nutrition Tongde Hospital of Zhejiang ProvinceTaizhou 524333Zhejiang ProvinceChina Department of Gastroenterology Taizhou Municipal HospitalTaizhou 524333Zhejiang ProvinceChina

BACKGROUND This study examines the complex relationships among the neuroendocrine axis,gut microbiome,inflammatory responses,and gastrointestinal symptoms in patients with irritable bowel syndrome(IBS).The findings provide new insights into the pathophysiology of IBS and suggest potential therapeutic targets for improving patient *** To investigate the interactions between the neuroendocrine axis,gut microbiome,inflammation,and gastrointestinal symptoms in patients with *** Patients diagnosed with IBS between January 2022 and January 2023 were selected for the *** individuals undergoing routine check-ups during the same period served as the control *** were collected on neuroendocrine hormone levels,gut microbiome profiles,inflammatory biomarkers,and gastrointestinal symptomatology to analyze their interrelations and their potential roles in IBS *** IBS patients exhibited significant dysregulation of the neuroendocrine axis,with altered levels of cortisol,serotonin,and neuropeptides compared to healthy *** gut microbiome of IBS patients showed reduced diversity and specific alterations in bacterial genera,including Bifidobacterium,Lactobacillus,and Faecalibacterium,which were associated with neuroendocrine ***,elevated levels of inflammatory markers,such as C-reactive protein,interleukin-6,and tumor necrosis factor-α,were observed and correlated with the severity of gastrointestinal symptoms like abdominal pain,bloating,and altered bowel *** The findings suggest that targeting the neuroendocrine axis,gut microbiome,and inflammatory pathways may offer novel therapeutic strategies to alleviate symptoms and improve the quality of life in IBS patients.

关键词： Gastrointestinal symptoms Inflammatory response Intestinal microbiota Irritable bowel syndrome Neuroendocrine axis Relationship study

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Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT

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BLOCKCHAIN-RESEARCH AND APPLICATIONS 2024年第3期5卷 11-21页

作者： Wang, xin zhang, Haoji Wu, Haoyu Yu, Hongnian Shaanxi Univ Sci & Technol Sch Elect Informat & Artificial Intelligence Xian 710021 Peoples R China Edinburgh Napier Univ Sch Engn & Built Environm Edinburgh EH10 5DT Scotland

Federated learning (FL) allows data owners to train neural networks together without sharing local data, allowing the industrial Internet of Things (IIoT) to share a variety of data. However, traditional FL frameworks suffer from data heterogeneity and outdated models. To address these issues, this paper proposes a dualblockchain based multi-layer grouping federated learning (BMFL) architecture. BMFL divides the participant groups based on the training tasks, then realizes the model training by combining synchronous and asynchronous FL through the multi-layer grouping structure, and uses the model blockchain to record the characteristic tags of the global model, allowing group-manners to extract the model based on the feature requirements and solving the problem of data heterogeneity. In addition, to protect the privacy of the model gradient parameters and manage the key, the global model is stored in ciphertext, and the chameleon hash algorithm is used to perform the modification and management of the encrypted key on the key blockchain while keeping the block header hash unchanged. Finally, we evaluate the performance of BMFL on different public datasets and verify the practicality of the scheme with real fault datasets. The experimental results show that the proposed BMFL exhibits more stable and accurate convergence behavior than the classic FL algorithm, and the key revocation overhead time is reasonable.

关键词： Federal learning Multi-level grouping Editable blockchain Data heterogeneity Industrial Internet of Things (IIOT) PRIVACY INTERNET

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Double Fano resonances in disk-nonconcentric ring plasmonic nanostructures

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Optoelectronics Letters 2024年第1期20卷 1-6页

作者： zhang xingfang LIU Fengshou LIANG Lanju YAN xin School of Opt-Electronic Engineering Zaozhuang UniversityZaozhuang 277160China Laboratory of Optoelectronic Information Processing and Display of Shandong Zaozhuang 277160China

The plasmonic properties of gold nanostructures composed of a disk outside a nonconcentric ring are numerically studied by the finite difference time domain(FDTD)*** results show that two Fano resonances are formed as a result of the coupling of the octupolar and quadrupolar modes of the ring with the dipolar mode of the *** reduction in structural symmetry causes a red shift of the Fano resonances and distinct changes in spectral lineshape by offsetting the center of the inner surface of the ring to different *** effects of several geometric parameters on the characteristics of Fano resonances are also *** addition,the refractive index(RI)sensitivities for the two Fano resonances can be up to 581 nm/RIU and 780 nm/RIU with the corresponding figure of merits(FOMs)as large as 12.7 and 10.2,*** properties render the structures useful for potential applications in multi-wavelength sensors.

关键词： method resonance render

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Cross-Project Software Defect Prediction Based on SMOTE and Deep Canonical Correlation Analysis

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Computers, Materials & Continua 2024年第2期78卷 1687-1711页

作者： xin Fan Shuqing zhang Kaisheng Wu Wei Zheng Yu Ge School of Software Nanchang Hangkong UniversityNanchang330063China Software Testing and Evaluation Center Nanchang Hangkong UniversityNanchang330063China

Cross-Project Defect Prediction(CPDP)is a method that utilizes historical data from other source projects to train predictive models for defect prediction in the target ***,existing CPDP methods only consider linear correlations between features(indicators)of the source and target *** models are not capable of evaluating non-linear correlations between features when they exist,for example,when there are differences in data distributions between the source and target *** a result,the performance of such CPDP models is *** this paper,this paper proposes a novel CPDP method based on Synthetic Minority Oversampling Technique(SMOTE)and Deep Canonical Correlation Analysis(DCCA),referred to as *** Correlation Analysis(CCA)is employed to address the issue of non-linear correlations between features of the source and target projects.S-DCCA extends CCA by incorporating the MlpNet model for feature extraction from the *** redundant features are then eliminated by maximizing the correlated feature subset using the CCA loss ***,cross-project defect prediction is achieved through the application of the SMOTE data sampling *** Under Curve(AUC)and F1 scores(F1)are used as evaluation *** paper conducted experiments on 27 projects from four public datasets to validate the proposed *** results demonstrate that,on average,our method outperforms all baseline approaches by at least 1.2%in AUC and 5.5%in F1 *** indicates that the proposed method exhibits favorable performance characteristics.

关键词： Cross-project defect prediction deep canonical correlation analysis feature similarity

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A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 178-196页

作者： Yongqian Xiao Zixin Tang xin Xu xinglong zhang Yifei Shi College of Intelligence Science and Technology National University of Defense TechnologyChangshaChina

Although previous studies have made some clear leap in learning latent dynamics from high-dimensional representations,the performances in terms of accuracy and inference time of long-term model prediction still need to be *** this study,a deep convolutional network based on the Koopman operator(CKNet)is proposed to model non-linear systems with pixel-level measurements for long-term *** adopts an autoencoder network architecture,consisting of an encoder to generate latent states and a linear dynamical model(i.e.,the Koopman operator)which evolves in the latent state space spanned by the *** decoder is used to recover images from latent *** to a multi-step ahead prediction loss function,the system matrices for approximating the Koopman operator are trained synchronously with the autoencoder in a mini-batch *** this manner,gradients can be synchronously transmitted to both the system matrices and the autoencoder to help the encoder self-adaptively tune the latent state space in the training process,and the resulting model is time-invariant in the latent ***,the proposed CKNet has the advantages of less inference time and high accuracy for long-term *** are per-formed on OpenAI Gym and Mujoco environments,including two and four non-linear forced dynamical systems with continuous action *** experimental results show that CKNet has strong long-term prediction capabilities with sufficient precision.

关键词： deep neural networks image motion analysis image sequences sequential estimation

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Synchronous deprotonation–protonation for mechanically robust chitin/aramid nanofibers conductive aerogel with excellent pressure sensing, thermal management, and electromagnetic interference shielding

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Nano Research 2024年第3期17卷 2038-2049页

作者： xinxin zhang Kunpeng Qian Jianhui Fang Sineenat Thaiboonrod Miao Miao xin Feng Department of Chemistry College of SciencesShanghai UniversityShanghai 200444China Research Center of Nano Science and Technology College of SciencesShanghai UniversityShanghai 200444China School of Materials Sciences and Engineering Shanghai UniversityShanghai 200444China National Nanotechnology Center(NANOTEC) National Science and Technology Development Agency(NSTDA)Thailand Science ParkPathum Thani 12120Thailand

Aerogels with regularly porous structure and uniformly distributed conductive networks have received extensive attention in wearable electronic sensors,electromagnetic shielding,and so ***,the poor mechanical properties of the emerging nanofibers-based aerogels are limited in practical *** this work,we developed a synchronous deprotonation–protonation method in the KOH/dimethyl sulfoxide(DMSO)system at room temperature for achieving chitin cross-linked aramid nanofibers(CANFs)rather than chitin nanofibers(ChNFs)and aramid nanofibers(ANFs)separately by using chitin and aramid pulp as raw *** freeze-drying process,the cross-linked chitin/aramid nanofibers(CA)aerogel exhibited the synergetic properties of ChNF and ANF by the dual-nanofiber compensation *** mechanical stress of CA aerogel was 170 kPa at 80%compressive strain,increased by 750%compared with pure ChNF ***,the compressibility of CA aerogel was somewhat improved compared to ANF *** enhancement verified that the crosslinking reaction between ANF and ChNF during the synchronous deprotonation process was ***,the conductive aerogels with uniform porous structure(CA-M)were successfully obtained by vacuum impregnating CA aerogels in Ti_(3)C_(2)T_(x) MXene solution,displaying low thermal conductivity(0.01 W/(m·K)),high electromagnetic interference(EMI)shielding effectiveness(SE)(75 dB),flame retardant,and heat ***,the as-obtained CA-M aerogels were also applied as a pressure sensor with excellent compression cycle stability and superior human motion monitoring *** a result,the dual-nanofiber based conductive aerogels have great potentials in flexible/wearable electronics,EMI shielding,flame retardant,and heat insulation.

关键词： synchronous deprotonation–protonation electromagnetic interference(EMI)shielding flame retardant heat insulation pressure sensing

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High-precision simulation and experimental verification of residual stress and surface topography of cylindrical surface shot peening

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CHINESE JOURNAL OF AERONAUTICS 2024年第9期37卷 535-559页

作者： Zhao, Jiuyue Tang, Jinyuan Liu, Huaming zhang, Huiyun Li, xin Ding, Han Cent South Univ State Key Lab Precis Mfg Extreme Serv Performance Changsha 410083 Peoples R China Cent South Univ Coll Mech & Elect Engn Changsha 410083 Peoples R China

Shot peening is commonly employed for surface deformation strengthening of cylindrical surface part. Therefore, it is critical to understand the effects of shot peening on residual stress and surface topography. Compared to flat surface, cylindrical surface shot peening has two significant features: (i) the curvature of the cylindrical surface and the scattering of the shot stream cause distributed impact velocities; (ii) the rotation of the part results in a periodic variation of the impact velocity component. Therefore, it is a challenge to quickly and accurately predict the shot peening residual stress and surface topography of cylindrical surface. This paper developed a high-precision model which considers the more realistic shot peening process. Firstly, a kinematic analysis model was developed to simulate the relative movement of numerous shots and cylindrical surface. Then, the spatial distribution and time-varying impact information was calculated. Subsequently, the impact information was used for finite element modeling to predict residual stress and surface topography. The proposed kinematic analysis method was validated by comparison with the discrete element method. Meanwhile, 9310 high strength steel rollers shot peening test verified the effectiveness of the model in predicting the residual stress and surface topography. In addition, the effects of air pressure and attack angle on the residual stress and surface topography were investigated. This work could provide a functional package for efficient prediction of the surface integrity and guide industrial application in cylindrical surface shot peening.

关键词： Shot peening Cylindrical surface 9310 high strength steel High-precision modeling Residual stress Surface topography FATIGUE BEHAVIOR ROUGHNESS INTEGRITY STRENGTH HARDNESS STEEL

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Enhanced Flexoelectricity in Barium Titanate-Cellulose Composite Thin Films

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Acta Mechanica Solida Sinica 2024年第4期37卷 521-527页

作者： Wensi xing Hongyu Cao xin zhang Xu Liang Jianwei Song Shengping Shen Chemomechanics and Intelligent Media Laboratory State Key Laboratory for Strength and Vibration of Mechanical StructuresSchool of Aerospace EngineeringXi’an Jiaotong UniversityXi’an710049China

Biopolymers,the potential flexoelectric materials,are environment-friendly,degradable,lightweight,cost-effective,and possess remarkable processing properties catering to the requirements of advanced ***,the flexoelectric coefficient of biopolymers is normally much weaker than that of ceramic materials,limiting their potential applications for designing high-performance green electromechanical coupling *** improve the flexoelectric response in biopolymers,we composited barium titanate(BTO)with 2,2,6,6-tetramethylpiperidine-1-oxyl-oxidized cellulose nanofibrils(TOCNF)to enhance the flexoelectric response of *** to the high permittivity and flexoelectric effect of BTO,the relative dielectric constant and flexoelectric coefficient of 33.3 wt%BTO-TOCNF films reached 30.94@1 kHz and 50.05±1.88 nC/m@1 Hz,which were almost 172 times and 27 times higher than those of TOCNF,*** composite thin film contains high dielectric constant and flexoelectric coefficient,as well as excellent *** study provided a straightforward and efficient method for improving the flexoelectric effect of biopolymers,and demonstrated its great potential applications in flexoelectric-based devices.

关键词： Flexoelectricity Cellulose BaTiO_(3) Composite Thin films

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Comparative study on the hydrogen storage performance of as-milled MgRENi rapid quenched alloy catalyzed by metal sulfides

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Journal of Magnesium and Alloys 2024年第5期12卷 2010-2023页

作者： Xiaoping Dong Zhaoqing zhang Liying Yang Shenghai xin Dandan Su Zhiyuan Li Department of Mechanical Design and Manufacture and Automation Hebei UniversityBaoding 071000PR China Baoding New Energy Vehicle Power Engineering Technology Research Center Hebei UniversityBaoding 071002PR China Hebei Technology Innovation Center for Lightweight of New Energy Vehicle Power System(Preparation) Hebei UniversityBaoding 071002PR China

The composites of Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)as-quenched alloy and 3 wt.%M(M=CoS,CoS_(2),MoS_(2))catalyst were prepared by high-speed vibration ball *** effects of metal sulfides on the hydrogenation and dehydrogenation dynamics of alloys were *** results show that the as-milled composites contain a large number of amorphous embedded by a small amount of nanocrystals,and there are many point *** ball milling,the crystal grain size in the composites containing CoS is relatively larger,followed by CoS_(2)and MoS_(2)*** hydrogenation,the amorphous phase is crystallized to form Mg_(2)NiH_(4),YH_(3),Pr_(8)H_(18.96),Sm_(3)H_7,Mg,Co or Mo phases,however,Mg_(2)Ni,YH_(2),PrH_(2)and Ni_(3)Y phases appeared after *** maximum hydrogenation capacity of the composites containing CoS,CoS_(2)and MoS_(2)are 3.939,4.265 and 4.507 wt.%,*** hydrogenation saturation ratio of composite containing MoS_(2)is higher than that of the composites containing CoS and CoS_(2).The dehydrogenation activation energy of the composites containing CoS,CoS_(2)and MoS_(2)is 107.76,68.43 and 63.28 ***^(-1).H_(2).On the improvement of hydrogen storage performance of Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)alloy,the catalytic effect of MoS_(2)sulfide is better than that of CoS_(2)sulfide,and which is better than CoS sulfide.

关键词： Mg_(20)Pr_(1)Sm_(3)Y_(1)Ni_(10)as-quenched alloy CoS CoS_(2)and MoS_(2)sulfide Milling Activation energy Hydrogen storage dynamics

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Geomorphology-oriented theoretical framework and construction method for value-added DEM

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Journal of Geographical Sciences 2024年第1期34卷 165-184页

作者： zhang Haiping TANG Guoan XIONG Liyang YANG xin LI Fayuan Key Laboratory of Virtual Geographic Environment Ministry of EducationNanjing Normal UniversityNanjing 210023China School of Geography Nanjing Normal UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China

Digital elevation model(DEM)plays a fundamental role in the study of the earth system by expressing surface configuration,understanding surface process,and revealing surface *** is widely used in analysis and modeling in the field of ***,traditional DEM has the defect of single attribute,which is difficult to support the research in earth system science oriented to geoscience process and mechanism ***,realizing the value-added data model on the basis of traditional DEM is necessary to serve digital elevation modeling and terrain analysis under the background of a new geomorphology research paradigm and earth observation technology.A theoretical framework for value-added DEM that mainly includes concept,connotation,content,and categories,is constructed in this *** relationship between different types of value-added DEMs as well as the research significance and application category of this theoretical framework are also *** following are different methods of value-added DEMs:(1)value-added methods of DEM space and time dimensions that emphasize the integration of the ground and underground as well as coupling of time and space,(2)attribute-based value-added methods composed of material(including underground,surface,and ground)and morphological properties,and(3)value-added methods of features and physical elements that consider geographical objects and landform features formed by natural processes and artificial *** digital terrace,slope,and watershed models are used as examples to illustrate application scenarios of the three kinds of value-added *** study aims to improve expression methods of DEMs under the background of new surveying and mapping technologies by adding value to the DEM at three levels of dimensions,attributes,and elements as well as support knowledge-driven digital geomorphological analysis in the era of big data.

关键词： spatial data model value-added DEM digital terrain analysis geomorphological ontology geomorphology

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